Comparison of SERS spectra of intact and inactivated viruses via machine learning algorithms for the viral disease’s diagnosis application-Reference-Cited by-同舟云学术

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Comparison of SERS spectra of intact and inactivated viruses via machine learning algorithms for the viral disease’s diagnosis application

Published:2024-09 Issue: Volume:61 Page:101290
ISSN:1569-4410
Container-title:Photonics and Nanostructures - Fundamentals and Applications
language:en
Short-container-title:Photonics and Nanostructures - Fundamentals and Applications

Author:

Andreeva Olga,Tabarov Artem,Grigorenko Konstantin,Dobroslavin Alexander,Gazizulin Azat,Gorshkov Andrey,Zheltukhina Alyona,Gavrilova Nina,Danilenko Daria,Vitkin Vladimir

Funder

Ministerstwo Edukacji i Nauki

Ministry of Science and Higher Education of the Russian Federation

Publisher

Elsevier BV

Reference51 articles.

1. Advanced application of Raman spectroscopy and surface-enhanced Raman spectroscopy in plant disease diagnostics: a review;Weng;J. Agric. Food Chem.,2021

2. Challenges of SERS Technology as a Non-Nucleic Acid or -Antigen Detection Method for SARS-CoV-2 Virus and Its Variants;Sitjar;Biosens. Bioelectron.,2021

3. Surface Plasmon Resonance: A Boon for Viral Diagnostics;Singh,2017

4. Raman Spectroscopy for Urea Breath Test;Popov;Biosensors,2023

5. Raman Spectroscopy of Biological Tissues;Talari;Appl. Spectrosc. Rev.,2015

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